Demo #10 - Datadriven Analys och Uppföljning av KTHs Forskning (DAUF)

KTH Library & ITA

2024-02-14

About the DAUF project

Creating services and tools for presentation of research information data, improved data flows and connecting data sources within KTH.
Agile model with 2 week sprints.
Collaborations within VS, between KTH-Library, RSO and ITA.
New research portfolio management structure is taking shape and governs the DAUF project

Agenda

Status update for the DAUF project - “Datadriven Analys och Uppföljning av KTHs Forskning”
ABM 2023 - new Annual Bibliometric Monitoring for 2023
New features in KTH Research Information app
Progress in data mobilization - imports for DiVA publications etc
Your questions and feedback

Background and progress

Progress overview - since last demo

New ABM 2023 with longer timelines and annual indicators
New features in KTH Research Information app
New KTH graphical style (across all apps and reports)
New KTH-styled quarto extension with templates
New landing page at https://bibliometrics.lib.kth.se
Sunsetting of staff-based variant of ABM (replaced by Research Information app)
Data flow integrations and new S3 data buckets established for data exchange (Research Data / dmponline and Learning Analytics)

The big picture in ABM 2023

Trends?
Variability between schools?

New in KTH Research Information

New branding to conform with new graphical profile for KTH
Improved filtering options
Link out to profile pages at kth.se
Improved export functionality
Subject area analysis
Topic clusters and keywords
Journal classifications
Open Access tab
Explore co-publication collaborations at KTH
Improved search capabilities for finding researchers
Data about projects at KTH

Data mobilization

MORE. FASTER. BETTER. CHEAPER.

Publication data in DiVA and other sources

KTH Library is serious about data quality. We now use more automated quality checks with fewer manual quality checks required.

Improved imports for publication metadata, where MODS is generated and ingested into DiVA using an automated process
Improved update frequency and data quality
- Faster and more frequent imports from Scopus
- Better affiliations (from Scopus, enriched with internal KTH researcher identifiers etc)

Reduction in manual curation time

Time savings

More than 50% time savings in recent years

Labour savings

Automated record entry -> reduced workload for the researcher

Better quality

Automated continouous quality checks and smoother workflows
Cross-checking against more sources and using enrichment (ORCiD, affiliations)

Share of researcher registered conference papers

Other data infrastructure efforts

Efforts towards integrating data about organisational structure from HR, DiVA and “UG”.
Better ORCiD linkage through more automated quality checks
Infrastructure upgrade with server migration finished, upgraded software stack with automatic certificates, updated monitoring endpoints etc

Object Storage / S3

Software upgrade for object storage (S3 / minio) at https://data.bibliometrics.lib.kth.se which improves on user management, provides SFTP support and more.

Should we publish more “open data” (without Personally Identifiable Information) to support general use elsewhere at KTH? For example ABM indicators for 2023, information about organizational units at KTH, information about projects at KTH etc?

Tooling and libraries

A number of new libraries have been developed and existing libraries are continuously maintained:

Discussion, Questions, Feedback

Future work and directions

Determined based on your input and directions provided by product owners.

Questions and Answers

Please provide your input!

Suggestions and comments?

If you prefer to provide written feedback, please use the following jamboard.

Thank you for attending!